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Japanese Software Education

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(1)

Japanese Software Education

National Institute for Educational Policy Research Curriculum Director of Information Study

Toshiharu Kano

(2)

Progress towards the Society 5.0 (Creative Society)

Society 1.0

Hunting Society 2.0

Agriculture Society 3.0

Industrial Society 4.0

Information Society 5.0 Creative

Digital

Tranceformation

Imagination & Creativity of diverse people

Problem Solving

Creation Value

(3)

How Japanese Education will change

Course of

Study Textbook Teacher

Student Ministry of

Education Company School

Change once

Every 10 years. Ministry of Education check it.

Teach

according to

the Course

of Study.

(4)

There was a big change this time on Software Education

School Type Befor After

Elementary School

Age 6〜12

0% 100%

Implemented in all subjects

Junior High School

Age 1215

100%

Same as right

100% + α

Implemented in Thecnology and Home economics

High School

Age 1518

20%

Same as right

100%

Implemented in Information Study

2022 2021 2020

2024 Under Review!

Information studyⅠ as a University Entrance Examination

(5)

High School “Information Study Ⅰ ” Ploblem Solving

Analysis

Consider a solution Evaluation

Improvement

Statistically

Statistically Predictingg solution Select the solution

Imagine the goal Reason

Thinking, Deciding

Statistically

Utilizing Statistics for problem finding and solving, and deciding objectively

Discovery

Imprementaion Statistically

Estimate the levels of solution

Expressing Statistically

(6)

High School “Information Study Ⅰ ” Information Design

Representation

Logic

Functions

(7)

High School “Information Study Ⅰ ” programing

Learn through programming, learn programming, and utilizing programming, so that you can think

(Ex)Rearrangement(Sorting)

Modeling and Simulation Use AI

Computer Graphics

(8)

High School “Information Study Ⅰ ” Network and Utilizing data

Network design

y = 0.2073x - 9.1461

22 22.523 23.524 24.525 25.5 26 26.5 27 27.5

150 155 160 165 170 175

身長(cm)

⾝⻑と靴のサイズの関係

(cm)

Statistics-simple regression Statistics

Test for

comperison

(9)

High School “Information Study Ⅱ ” Advanced elective subjects

• Data Science

• Data Analysis→Modeling→Prediction

→Machine Learning→AI

• System Programing

• Desingning system→Dividing→Cording→Integration

• Total Management

• Inquire→Utilize→New Value

(10)

High School Preparation

• Training materials (made by Ministry of Education)

• Training by local government

• Use Training materials(Book,Video,Data,Code,other)

• Other

• Coorporation of Academic Society, Company and NPO

(11)

About AI

• Elementary School and Junior HIgh

• AI Equipped robot for example Pepper

• Think about the relationship between AI and people

• High School(Information Study Ⅰ )

• Understanding the characteristics of AI

• Use API on programming

• High School(Information Study Ⅱ )

• Consider the world changed by AI

• Consider the ability required of people in that world

• Learn Data Science and Machine Learning

Play

Use

Learn

(12)

Integrated Science, Technology and Innovation Conference

Literacy education

Long-term efforts at each stage, from elementary school students to working adults, to establish “mathematical / data science” as the “reading, writing, and abacus” of the digital society

Utilization of certification systems and qualifications

Elementary and junior high school

high school

University entrance examination

University / Technical College

Society

Increased interest in science

NowUnder Review All high school

students learn basic literacy

Expand adoption of “Information I”

Mastering basic data science and AI

Acquisition of AI utilization skills

Utilization for employment and treatment

Long-term efforts for primary / secondary education, higher education, and recurrent education

Establishing a system to ensure the quality of human resources according

to the necessary qualities and skills

(13)
(14)

• Regression

• Classification

• Clustering

Machine learning

(15)

「Initiation of Programing Thinking(First Edition)」

Finding Problem

Realizing and Implementing under the objective (Learning Tasks)

Finding Problem Computational Thinking

(Programing)

Analyze the process and dividing into

the parts

Set the command

(signal) depending on

the part

Combinati

ons Solutions

Continuous and extensional

Improvements through trials and errors

Learned knowledge and skills

Developmental Levels

Programing Thinking cultivated through

the repetitions

Referensi

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